Dr. Geofrey Sikazwe | Mathematical Modeling in Ecology | Best Researcher Award

Lecturer, University of Dar es Salaam, Tanzania

Dr. Geofrey Sikazwe, a distinguished lecturer at the University of Dar es Salaam, Tanzania, has been honored with the Best Researcher Award for his outstanding contributions to mathematical modeling in ecology 🌿📊. His innovative research has significantly advanced our understanding of ecological systems, demonstrating the profound impact of mathematical tools in solving complex environmental issues. Dr. Sikazwe’s work not only enhances academic knowledge but also provides practical solutions for sustainable environmental management 🌍. His dedication and excellence serve as an inspiration to both his colleagues and students, reinforcing the importance of interdisciplinary research in tackling global ecological challenges 🌱✨.

PROFILE

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EDUCATION

Dr. Geofrey Sikazwe’s academic journey is a testament to his dedication and expertise in mathematical sciences 📚. From 2021 to 2024, he pursued a PhD in Applied Mathematics at Stellenbosch University, South Africa, under the supervision of Prof. Cang Hui, Dr. Rosita Yocgo, Dr. Pietro Land, and Prof. David M. Richardson, focusing on mathematical modeling of co-infecting plant viruses amid climate change 🌿🌍. Earlier, he completed an MPhil in Mathematical Biology at Wolfson College, University of Cambridge, with a dissertation on cassava brown streak epidemics, supervised by Prof. Chris Gilligan. His academic foundation includes a Master’s in Techno-mathematics from Lappeenranta University of Technology, Finland, and a Bachelor’s in Education (Mathematics) from the University of Dar es Salaam, Tanzania 🎓.

PRIZES AND GRANTS

Dr. Geofrey Sikazwe has been the recipient of several prestigious grants and scholarships, highlighting his exceptional contributions to mathematical sciences and climate change research 🌍📊. Between 2021 and 2023, he secured a Small Research Grant in Climate Change Sciences from the African Institute for Mathematical Sciences, amounting to $30,000 💰. Earlier, from 2015 to 2018, he was awarded a Melinda & Gates Foundation Studentship at the University of Cambridge, UK, worth £42,000 🎓. Additionally, he received a World Bank Scholarship for his studies at Lappeenranta University of Technology, Finland, from 2009 to 2011, valued at $38,400 🌟.

WORK EXPERIENCE

Dr. Geofrey Sikazwe has been a dedicated educator at the University of Dar es Salaam, Mkwawa University College of Education in Iringa, Tanzania 📚. Since 2024, he has served as a lecturer, contributing his extensive knowledge and experience to the academic community. Prior to this, he was an assistant lecturer at the same institution from 2011 to 2024, playing a crucial role in shaping the minds of future mathematicians and scientists 🌟. Dr. Sikazwe’s long-standing commitment to education and research underscores his passion for teaching and his dedication to advancing mathematical sciences in Tanzania 🌍✨.

PUBLICATIONS Top Notes

Sikazwe, G., Yocgo, R. E. E., Landi, P., Richardson, D. M., & Hui, C. (2024). Managing whitefly development to control cassava brown streak virus coinfections. Ecological Modelling, 493, 110753.

Mark, D., Tairo, F., Ndunguru, J., Kweka, E., Saggaf, M., Bachwenkizi, H., … & Maghembe, R. (2024). Assessing the effect of sample storage time on viral detection using a rapid and cost-effective CTAB-based extraction method.

Donnelly, R., Sikazwe, G. W., & Gilligan, C. A. (2020). Estimating epidemiological parameters from experiments in vector access to host plants, the method of matching gradients. PLOS Computational Biology,

Sikazwe, G., Yocgo, R. E. E., Landi, P., Richardson, D. M., & Hui, C. (2024). Monitoring whitefly development to manage cassava brown streak virus coinfections.

Sikazwe, G., Mark, D., Chiunga, E., Massawe, J., Nguvu, G., & Ndunguru, J. (2024). Sugarcane smut pathogenic races in Tanzania: Current knowledge of resistance, characterization, detection, and management strategies.

Mark, D., Sikazwe, G., Saggaf, M., Tairo, F., Ndunguru, J., Chiunga, E., Lusana, J., Kweka, E., Maghembe, R., & Bachwenkizi, H. (2022). Assessing the effect of sample storage time on viral detection using a rapid and cost-effective CTAB-based extraction method.